Get the daily digest of these articles sent to your inbox.
Join 15,000+ construction pros. Unsubscribe anytime.
# The Fleet That Builds a Nation
Canada's new submarine fleet could anchor a long-term industrial revival from Halifax to British Columbia.
Sponsored By Hanwha Ocean
By James Daly
The submarine is the ultimate instrument of hidden power, a sleek vessel that slips underwater and operates invisibly, projecting lethal force and supporting national de...
* #### Games
+ Scattergories Daily + 5 Across the Letter Word Game + DownWords + Sudoku + [Swap Words](//www.foxnews.c...
* Commentary * Economy * Education * Election 2026 * Government & Politics * Health & Environment
##### 12:31
##### Brief
* [Government & Politics](https://indianacapitalchroni...
* Buyers guides + Field robots + Autosteer retrofit kits + Autonomous Retrofit Kits + Autonomous Tractors + [Drones](https://www.futurefarming.com/dossier...
Skip to site menu Skip to page content
* News
# Sandvik and Rio Tinto team up for autonomous drilling
The joint effort will focus on developing autonomous capabilities for remote, multi-site and multi-rig operations.
Srivani Venna June 1, 2026
Share
* [Copy Link](https://www.mining-technology.com/news/sandvik-rio-tinto-autonomous-drilling/...
**Construction News Read UK Construction Industry News, Analysis, Opinion and data**
* You are here: Long reads
# Robotics: How to use it on UK buildin...
XCMG recently hosted its 8th International Customer Festival, showcasing its commitment to sustainable equipment and intelligent manufacturing. The event highlighted XCMG's advancements in excavator technology, particularly its range of electric models from 1 to 90 tonnes. This includes pure electric, hybrid, and plug-in options tailored for diverse applications, from urban construction to heavy-duty mining. By developing lower-emission excavators, XCMG aims to support the construction industry's transition towards greener operations and address the growing demand for environmentally friendly equipment solutions.
The festival also provided an inside look at XCMG's smart factory, demonstrating the integration of digital technologies and data-driven processes in excavator production. Visitors witnessed agile production, precision quality control, and efficient logistics, underscoring the company's focus on improving efficiency and responsiveness to customer needs through intelligent manufacturing. This dedication to innovation is further supported by XCMG's "1+2+2" strategy, which emphasizes excavators as the core business and the expansion of capabilities through technological advancements in attachments and chassis systems.
Beike, a major player in China's real estate market, unveiled its "AI Suite" at the 3rd Smart China Expo, showcasing a comprehensive set of AI-driven tools designed to revolutionize the entire home-finding and home-improvement process. Aimed at tackling industry pain points like inefficient property matching and opaque construction processes, the suite leverages technologies like AI deep-reasoning models, 3D space rendering, and MR space computing. For construction professionals, this move signals a growing demand for digitized workflows, AI-powered design and building processes, and more transparent communication channels with clients. The ultimate goal is to provide a one-stop solution that transforms the customer experience and establishes new industry standards.
The suite includes several key applications powered by AI. "Pudding AI" intelligently matches buyers with suitable properties, while "City Heart Selection" provides 3D maps with detailed information on local amenities. The MR home-viewing system creates immersive experiences for off-plan properties, and "Zhihui +" (BIM) solutions improve home-improvement designs. Beike is also integrating AI into construction sites to manage, standardize, and visualize the entire process, including real-time monitoring and AI-driven acceptance reports. This push by Beike highlights the potential of AI to not only streamline operations but also improve construction quality by minimizing delays, reducing accidents, and ensuring adherence to design specifications.
In today's increasingly automated construction landscape, network security is no longer just an IT concern, but a critical component for business survival. As construction sites integrate more robots, automated systems, and smart sensors, the network becomes integral to project execution. A compromised network can halt operations, disrupt schedules, and lead to significant financial losses, making construction companies vulnerable to targeted attacks aimed at disrupting uptime.
The convergence of IT and operational technology (OT) in construction introduces a complex web of interconnected devices, from PLCs and HMIs to wireless equipment, each with varying levels of security and patch management. This expanded attack surface, coupled with the reliance on remote vendor access for troubleshooting and updates, creates potential entry points for malicious actors. Simple vulnerabilities like shared credentials and unmonitored remote tools can provide attackers with legitimate-looking access, making detection difficult.
Securing construction networks requires a proactive and pragmatic approach. This includes segmenting networks to limit device communication, tightly controlling remote access with multi-factor authentication and traceable sessions, maintaining a detailed inventory of all connected devices, and monitoring for unusual network behavior. Furthermore, a risk-based patching strategy that prioritizes critical systems and compensates for unpatchable devices with network restrictions is essential. By prioritizing network security, construction firms can protect their investments in automation and ensure safe, efficient project delivery.
Emerson is partnering with SiMa.ai to bring advanced AI capabilities directly to the industrial edge, a move that could significantly impact construction operations. By integrating SiMa.ai's "Physical AI" into Emerson's rugged industrial PCs, they aim to enable real-time analytics and autonomous actions in harsh and remote environments like construction sites. This integration combines programmable logic controllers (PLCs), AI-enabled industrial PCs, sensors, and Industrial IoT-ready supervisory control and data acquisition (SCADA)/human-machine interface (HMI) systems. This collaboration is designed to support on-premise analysis, allowing for immediate insights and responses without relying on cloud connectivity, even in "air-gapped" environments.
This development has significant implications for construction technology. On-device AI can facilitate real-time safety monitoring, predictive maintenance for heavy equipment, and automated control of machinery. The ability to process data locally is especially valuable in areas with limited or unreliable internet connectivity, a common challenge on construction sites. Emerson's continued expansion of AI capabilities demonstrates a consistent strategy to embed AI across its offerings, including software, test automation, and plant optimization. The projected industrial AI market is expected to reach $153.9 billion by 2030, with a compound annual growth rate of 23%, highlighting the potential for AI-driven solutions in construction and other industrial sectors.
Despite significant headwinds in the form of high construction costs, lower reimbursement rates, and shrinking margins, the healthcare construction sector is experiencing growth, according to a recent Modern Healthcare survey. This is significant for construction professionals as it signals continued opportunities in this specialized market. However, it also highlights the increasing pressure to deliver cost-effective solutions and navigate complex financial constraints. Healthcare organizations are clearly looking to do more with less.
Interestingly, the survey also reveals that designs accommodating artificial intelligence and robotics are popular requests. This trend suggests a growing demand for construction projects that incorporate advanced technologies within healthcare facilities. For the construction industry, this means a need to upskill and become proficient in integrating AI and automation infrastructure into new and renovated healthcare spaces, potentially leading to new specializations and project requirements within the sector.
In 2026, AI-powered field reporting apps are becoming indispensable tools for contractors navigating increasing project complexities, tighter regulations, and critical labor shortages. These apps, leveraging machine learning, NLP, and computer vision, automate traditionally manual processes like site updates, voice transcription, photo organization, and daily log creation. By streamlining data capture and communication, they tackle common industry pain points such as excessive administrative overhead, information errors, and slow approval workflows, ultimately helping projects stay on schedule and within budget.
The automation capabilities of these apps are particularly crucial in light of projections of a 500,000 worker shortfall in the construction industry. AI-driven features like voice-to-text reporting, automated daily logs, and real-time collaboration are transforming how field teams operate. Key players like Procore, Autodesk Construction Cloud, Raken, Fieldwire, and Benetics AI are offering solutions that enhance project transparency, minimize documentation efforts, and improve overall efficiency. The adoption of these technologies is poised to give construction firms a significant competitive advantage by streamlining operations and mitigating risks associated with traditional reporting methods.
The National Institute of Building Sciences (NIBS) Building Innovation conference highlighted the growing impact of digital tools and AI on construction processes, particularly in streamlining permitting and inspections. Speakers emphasized how technologies like AI-powered visual inspection and digital permitting systems are dramatically reducing timelines and improving efficiency. For example, Washington D.C.'s Department of Buildings has consolidated permitting workflows and created instant permits, while Procon is using visual AI to allow inspectors to virtually walk buildings before arriving on site, significantly boosting their productivity.
AI's potential extends beyond inspections, with Procore demonstrating how AI can rapidly generate disaster response strategies, compressing months of work into minutes. However, experts cautioned that AI implementation requires careful oversight. While AI can analyze vast datasets and provide rapid insights, the need for human-in-the-loop systems remains critical, preventing automated decisions without human guidance. The conference also acknowledged that digital tools can sometimes create additional administrative burdens if not implemented thoughtfully, underscoring the importance of a balanced approach to technology adoption.
Grain bin entry is a notoriously dangerous task, but Grain Weevil, a Nebraska-based robotics company, is nearing full automation of the process. Their robotic solution utilizes auger-based propulsion to navigate the grain, break up crusted surfaces, and level the grain. A new iteration, slated for release this fall, will eliminate the need for human operators altogether. This advancement will not only significantly improve worker safety by removing them from the hazardous bin environment, but also boost efficiency and reduce grain loss.
The key to the Grain Weevil's autonomous operation lies in its unique navigation system. Unlike traditional GPS-dependent robots, the Grain Weevil utilizes small, magnetic radio devices positioned outside the bin to triangulate its location in real-time. This allows the robot to map the interior, track elevation changes, avoid obstacles, and even self-dock for charging, a critical innovation for operating within enclosed steel structures where GPS and Wi-Fi signals are unreliable. The autonomous robot will also be capable of sweeping the floors of the bins, making for near complete automation.
This technology has implications that extend beyond grain handling. The challenges Grain Weevil has overcome in developing autonomous navigation within signal-denied environments are relevant to other construction applications. Confined space operations such as tunnel boring or working within large metal structures could benefit from similar localization strategies, paving the way for increased automation and safety across a broader range of construction tasks.
Australia Bolsters P-8A Poseidon Maintenance Capabilities with New Facility
The Royal Australian Air Force (RAAF) has significantly enhanced its aircraft maintenance capabilities with the opening of a new Deep Maintenance Modification Facility (DMMF) at RAAF base Edinburgh. This A$200 million investment will support the maintenance and upgrade of the RAAF's fleet of Boeing P-8A Poseidon maritime patrol aircraft, as well as those of partner nations like New Zealand, whose P-8As will undergo maintenance at the facility starting in 2028. The DMMF is a crucial step towards strengthening Australia’s sovereign defense capabilities, improving force readiness, and reducing reliance on overseas support for these key assets.
The facility is expected to play a key role in upgrading the RAAF’s P-8A fleet with Increment 3 Block 2 modifications, which enhance the aircraft's submarine detection and targeting capabilities. While initial upgrades are being conducted at Boeing's facility in Jacksonville, Florida, the majority of the RAAF's fleet will be upgraded at the Edinburgh DMMF, showcasing the advanced technological capabilities being brought to bear in Australian defense infrastructure. The new facility signifies a growing trend towards in-country maintenance and upgrades, which is expected to reduce downtime and improve the availability of technologically advanced defense equipment in the region.
Indian construction firms are aggressively embracing smart manufacturing technologies, outpacing their global counterparts in investment. According to a recent report by Rockwell Automation, Indian manufacturers are spending 1.6 times more in the "high-spending" category compared to the global average, indicating a strong commitment to digital transformation. This increased investment reflects a strategic shift from simply adopting digital tools to effectively scaling them within their operations to maintain a competitive edge.
The report also highlights a significant adoption of Artificial Intelligence (AI) and Machine Learning (ML) within Indian manufacturing. Currently, 88% of Indian manufacturers are already leveraging AI and ML in their operations, with 41% of operations being AI-augmented. Projections estimate that this percentage will rise to 47% by 2027 and further to 61% by 2030. This embrace of AI and ML technologies is also impacting hiring practices, with 81% of Indian firms considering AI skills a critical requirement for new hires. This signals a growing reliance on automation and data-driven decision-making within the sector.
A recent memorandum of understanding (MoU) between Embraer and Hellenic Aerospace Industry (HAI) strongly suggests that the Hellenic Air Force (HAF) has chosen the Embraer KC/C-390 Millennium airlifter to replace its aging Lockheed Martin C-130 fleet. While no formal announcement has been made by the HAF, both companies referenced the "future C-390 fleet" and "serving the operational needs of the HAF" in their statements. The agreement focuses on providing the HAF with the necessary operational and support autonomy for its future fleet, alongside building a lasting industrial foundation for Greece.
The selection of the KC/C-390 could have implications for construction projects requiring airlift support. The airlifter's capabilities, including its payload capacity and potential for autonomous operations (though not explicitly mentioned in the source), would be of interest to construction firms involved in infrastructure development and disaster relief efforts where rapid deployment of equipment and materials is critical. While the article does not directly discuss AI or automation, the modernization of military aircraft often incorporates advanced avionics, sensor technologies, and potentially even AI-powered flight management systems to improve efficiency and safety in demanding operational environments, which may translate into improved logistics for associated construction projects.
## AI's Impact Reshapes the Construction Workforce: Skilled Trades in High Demand
A recent report highlights a surprising shift in the labor market, with AI driving job growth in skilled trades, including construction, even as it impacts some white-collar tech roles. Citing data from LinkedIn and other sources, the report indicates significant wage growth in the skilled trades (up to 30%) coupled with a projected need for nearly 350,000 new construction workers. This trend suggests a growing demand for professionals who can integrate and maintain AI-powered equipment and systems on job sites. Up to 80% of blue-collar workers surveyed believe AI will positively impact their industries.
The rise of AI and automation technologies is not just about replacing human labor; it's also creating a demand for skilled workers who can bridge the gap between the digital and physical worlds. As AI continues to automate repetitive cognitive tasks, the need for on-site technicians, installers, and maintenance personnel to support and manage these advanced systems will only increase. This shift presents both challenges and opportunities for the construction industry, requiring a focus on training and upskilling the workforce to meet the demands of an increasingly technologically driven sector.
Sandvik has unveiled a major upgrade to its Toro LH208L loader, a workhorse for low-profile underground mining. The enhanced loader features a Volvo Penta Stage V engine option, boosting power by 14% and torque by up to 36%, promising quicker cycle times and increased productivity. Beyond performance, Sandvik has prioritized operator well-being with significant noise reduction (6 dB decrease inside the canopy) and vibration dampening. Safety is also enhanced with improved visibility, certified ROPS/FOPS protection, and advanced safety systems.
The Toro LH208L also focuses on minimizing downtime and reducing operational costs. The upgraded design offers increased hydraulic reliability and a longer bucket lifespan (up to 25%). Furthermore, the loader embraces digitalization, being connectivity-ready and compatible with Sandvik's My Sandvik platform. This allows operators to track machine performance, maintenance needs, and productivity using data-driven insights, and enables future upgrades for long-term sustainable underground operations. The Toro LH208L's data-driven capabilities offer opportunities for predictive maintenance and optimized operational efficiency.
Mining operations are facing significant challenges regarding maintenance, often spending a large portion of their operating expenses on it and struggling with unplanned downtime that impacts production and profitability. A webinar featuring experts from Talan and SAP aims to address these issues by providing a roadmap for transitioning from reactive to predictive maintenance strategies. The session will focus on leveraging AI to optimize maintenance workflows, from identifying potential problems to diagnosis, planning, and incorporating feedback. Attendees will learn how to build the necessary data, workflow, and adoption frameworks to successfully implement smart maintenance solutions.
The webinar emphasizes the strategic importance of AI and predictive maintenance in asset-intensive industries like mining. Speakers Charles Carcenac and Mark Crouse will share their experience with organizations who have previously stalled with this type of digital transformation. By understanding where AI can add value, mining operations can significantly improve reliability and reduce costs. The insights offered will equip COOs, VPs of Operations, CFOs, and Plant Managers with a practical first step toward implementing a more efficient and proactive maintenance model, ultimately enhancing operational resilience and competitiveness.